1.fivetran / great_expectations
Always know what to expect from your data.
+68 stars
from 11,844 · score 4.23
Trending repositories
Ranked by Attention Score: stars gained over the last 30 complete days
8 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
2.cleanlab / cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
+45 stars
from 11,679 · score 3.83
3.feast-dev / feast
The Open Source Feature Store for AI/ML
+41 stars
from 7,311 · score 3.74
4.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+37 stars
from 13,708 · score 3.64
5.posit-dev / pointblank
Data validation toolkit for assessing and monitoring data quality.
+6 stars
from 491 · score 1.95
6.datafold / data-diffArchived
Compare tables within or across databases
+2 stars
from 2,988 · score 1.10
7.vertti / daffy
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
+1 stars
from 59 · score 0.69
8.rbmuller / scherlok
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
+1 stars
from 11 · score 0.69